Daniel Racek

Daniel Racek heads the Department for Data Science in Crisis and Conflict Research at the Center for Crisis Early Warning. He leads research and the development of innovative methodologies for the early detection of global crises, combining interdisciplinary research with practical applications.

Before joining the Center for Crisis Early Warning, Daniel Racek was a researcher at Ludwig Maximilian University of Munich, where he led several successful research projects. His work focused on developing computational methods to analyze and predict armed conflicts by integrating statistical and machine learning techniques with various data sources, such as social media and satellite imagery. He has also participated in numerous interdisciplinary projects in the social and political sciences, focusing on the methodological adaptation and implementation of statistical and machine learning models in specific contexts.

Daniel Racek holds a Ph.D. in statistics from Ludwig Maximilian University of Munich. He also earned a master’s degree in data science and a bachelor’s degree in economics from the same university, as well as a bachelor’s degree in computer science from the University of Derby.